You seem to have stepped on the same landmine that Ansible did, by defaulting to the jinja2 [aka text/template silliness in golang] of using double mustaches in YAML. I hope you enjoy quoting things because you're going to be quoting everything for all time because "{" is a meaningful character in YAML. Contrast
parameters:
status: "{{ var('order_status') }}"
with
parameters:
# made famous by GitHub Actions
status: ${{ var('order_status') }}
# or the ASP.Net flavor:
status2: <%= var('order_status2') %>
# or the PHP flavor:
status3: <?= var('order_status3') ?>
and, just like Ansible, it's going to get insaneo when your inner expression has a quote character, too, since you'll need to escape it from the YAML parser leading to leaning toothpick syndrome e.g.
If you find my "but what about the DX?" compelling, also gravely consider why in the world `data_expression:` seems to get a pass, in that it is implicitly wrapped in the mustaches
str_rendered = Template(template_str, undefined=StrictUndefined,
variable_start_string="${{",
variable_end_string="}}"
).render(jinja_context)
# et al, if you want to fix the {# and {%, too
Thank you for such an insightful suggestion and deep dive into the code - this is amazing feedback! I'll definitely switch to the ${{}} syntax you suggested.
Quick clarification on _expression: we intentionally use two templating systems - Jinja {{ }} for simple variable injection, and Python *_expression for complex logic that Jinja can't handle.
Actually, since we only use Jinja for variable substitution, should I just drop it entirely? We have another version implemented in Java/JavaScript that uses simple ${var-name} syntax, and we already have Python expressions for advanced scenarios. Might be cleaner to unify on ${var-name} + Python expressions.
Given how deeply you've looked into our system, would you consider using Sequor? I can promise full support including fundamental changes like these - your technical insight would be invaluable for getting the design right early on.
I'm not the target audience for this product, but I experience the pain from folks who embed jinja2/golang in yaml every single day, so I am trying to do whatever I can to nip those problems in the bud so maybe one day it'll stop becoming the default pattern
As for "complex logic that jinja can't handle," I am not able to readily identify what that would mean given that jinja has executable blocks but I do agree with you that its mental model can make writing imperative code inside those blocks painful (e.g. {% set _ = my_dict.update({"something":"else}) %} type silliness)
it ultimately depends on whether those _expression: stanzas are always going to produce a Python result or they could produce arbitrary output. If the former, then I agree with you jinja2 would be terrible for that since it's a templating language[1]. If the latter, then using jinja2 would be a harmonizing choice so the author didn't have to keep two different invocation styles in their head at once
1: one can see that in ansible via this convolution:
body: >-
{%- set foo = {} -%}
{%- for i in ... -%}
{%- endfor -%}
{# now emit the dict as json #}
{{ foo | to_json }}
Comments
You seem to have stepped on the same landmine that Ansible did, by defaulting to the jinja2 [aka text/template silliness in golang] of using double mustaches in YAML. I hope you enjoy quoting things because you're going to be quoting everything for all time because "{" is a meaningful character in YAML. Contrast
with and, just like Ansible, it's going to get insaneo when your inner expression has a quote character, too, since you'll need to escape it from the YAML parser leading to leaning toothpick syndrome e.g. ---If you find my "but what about the DX?" compelling, also gravely consider why in the world `data_expression:` seems to get a pass, in that it is implicitly wrapped in the mustaches
---
edit: ah, that's why https://github.com/paloaltodatabases/sequor/blob/v1.2.0/src/... but https://github.com/paloaltodatabases/sequor/blob/v1.2.0/src/... is what I would suggest changing before you get a bunch of tech debt and have to introduce a breaking change. From
to per https://jinja.palletsprojects.com/en/stable/api/#jinja2.Temp...Thank you for such an insightful suggestion and deep dive into the code - this is amazing feedback! I'll definitely switch to the ${{}} syntax you suggested.
Quick clarification on _expression: we intentionally use two templating systems - Jinja {{ }} for simple variable injection, and Python *_expression for complex logic that Jinja can't handle.
Actually, since we only use Jinja for variable substitution, should I just drop it entirely? We have another version implemented in Java/JavaScript that uses simple ${var-name} syntax, and we already have Python expressions for advanced scenarios. Might be cleaner to unify on ${var-name} + Python expressions.
Given how deeply you've looked into our system, would you consider using Sequor? I can promise full support including fundamental changes like these - your technical insight would be invaluable for getting the design right early on.
I'm not the target audience for this product, but I experience the pain from folks who embed jinja2/golang in yaml every single day, so I am trying to do whatever I can to nip those problems in the bud so maybe one day it'll stop becoming the default pattern
As for "complex logic that jinja can't handle," I am not able to readily identify what that would mean given that jinja has executable blocks but I do agree with you that its mental model can make writing imperative code inside those blocks painful (e.g. {% set _ = my_dict.update({"something":"else}) %} type silliness)
it ultimately depends on whether those _expression: stanzas are always going to produce a Python result or they could produce arbitrary output. If the former, then I agree with you jinja2 would be terrible for that since it's a templating language[1]. If the latter, then using jinja2 would be a harmonizing choice so the author didn't have to keep two different invocation styles in their head at once
1: one can see that in ansible via this convolution: